• 中文
    • English
  • English 
    • 中文
    • English
  • Login
View Item 
  •   DSpace Home
  • 信息科学与技术学院(撤)
  • 信息技术-已发表论文
  • View Item
  •   DSpace Home
  • 信息科学与技术学院(撤)
  • 信息技术-已发表论文
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

一种基于遗传算法的新的模糊控制器优化方法
A New GA - Bas e d Op timizatio n Met h o d f or Fuzzy Co nt rolle r Desig n

Thumbnail
Full Text
一种基于遗传算法的新的模糊控制器优化方法.pdf (230.3Kb)
Date
2005-10
Author
肖磊
张阿卜
Collections
  • 信息技术-已发表论文 [3939]
Show full item record
Abstract
中文文摘:通过分析对模糊控制器优化的原理,提出一种新的优化设计方法,通过引入等比因子,实现用三个参数调整输入、输出语言 变量的隶属函数,再通过遗传算法寻优包括量化和比例因子在内的这些参数,使得性能指标最大,从而使设计出的模糊控制 器性能更优。仿真结果表明,本文方法简单,有效。 英文文摘:A new optimization method for fuzzy controller design is proposed. The membership functions of input and output variables are defined by three parameters , called geometric proportional factors , adding with the scaling factors , which are adjusted to maximize the performance in2 dex by using the Genetic Algorithm. Therefore the fuzzy controller is designed to be more capability. The simulation result shows that this optimization method is simple and effective.
Citation
自动化技术与应用,2005(10):1-3
URI
https://dspace.xmu.edu.cn/handle/2288/8404

copyright © 2002-2016  Duraspace  Theme by @mire  厦门大学图书馆  
About | Policies
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

copyright © 2002-2016  Duraspace  Theme by @mire  厦门大学图书馆  
About | Policies